CRMS - Market Surveillance

Canary Wharf, 1 Churchill Place

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Barclays

Barclays is a British universal bank. Our businesses include consumer banking, as well as a top-tier, global corporate and investment bank.

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Job Description

Purpose of the role

To design, develop, implement, and maintain various statistical, mathematical and machine learning models to support decision-making by analysis and solving complex problems. 

Accountabilities

  • Acquisition and collection of data from various sources, including internal databases, external datasets, and real-time feeds.
  • Performing data cleaning and pre-processing tasks to ensure data quality and suitability for model development.
  • Design and implementation of data management strategies for model maintenance and future development.
  • Designing, development, and implementation of statistical and machine learning models for various applications, including credit risk assessment, fraud detection, customer segmentation, and marketing optimisation.
  • Monitoring model performance in real-time and identify any potential issues or biases.

Vice President Expectations

  • Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.
  • Manage and mitigate risks through assessment, in support of the control and governance agenda.
  • Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
  • Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.
  • Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.
  • Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
  • Adopt and include the outcomes of extensive research in problem solving processes.
  • Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

The Market Surveillance  Business Intelligence (MS BI) team operates at the intersection of technology, analytics, and financial markets.  They lead initiatives in Management Information (MI), reporting, and dashboard development. As a collaborative unit, MS BI navigate complex datasets and contribute to banking compliance efforts. Our team's expertise extends to utilizing tools such as MS Office, TABLEAU, and SQL for strategic data insights. With a foundation in analytics, a deep understanding of financial market products, and prior experience in compliance, the MS BI team plays a pivotal role in shaping data-driven strategies for the organisation.

To be successful as a CRMS Market Surveillance VP, you should have experience with

  • Lead the creation of dynamic Tableau dashboards to support the analysis of critical surveillance data

  • Support the Surveillance Advisory and Optimization team with scenario analysis, validation and calibration

  • Develop and maintain new data sources in line with Firm-wide Data Management Standards using coding platforms such as SQL and Python

You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Banking Business Intelligence Credit risk Data management Data quality Machine Learning ML models Python Research SQL Statistics Tableau

Region: Europe
Country: United Kingdom

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